Dear statalist,
further to my email below. Someone has recommended that I use dummy variables to create the interaction variables and have said that I can just use the coefficients for the purposes of my analysis. Sorry about my last post.
Thanks,
Allison
----- Original Message -----
From: <Allison.Milner@student.griffith.edu.au>
Date: Thursday, June 18, 2009 5:10 pm
Subject: interaction terms in xtgee f(nb). interpretations incorrect???
To: "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
> Dear stata list,
>
> I am currently using xtgee f(nb) corr(exch) to estimate a model
> with interactions- and had a panic that I am interpreting them
> incorrectly.I created two values value of the moderator, I std
> dev above and below the mean. I then created an interaction with
> each of these with the predictors in my model... (e.g.
> family*1_stdabove and family*1_stdbelow). i tested whether these
> were significant using the wald test and have so far just used
> the coefficients of the model to interpret the results, not
> predicted probabilities.
> Any advice on whether this is ok? I know that there are some
> program for nonlinear interactions such as spostado (by Long &
> Freese) but I thought that this was used only if you want to
> interpret predicted probs.
> Thanks in advance
> Allison
> ps- am currently waiting on the textbook "Regression Models for
> Categorical Dependent Variables Using Stata, 2nd Edition"J.
> Scott Long, Jeremy Freese but if anyone else has experience in
> this I would be very grateful for their advice
>
>
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